User-priority guided Min-Min scheduling algorithm for load balancing in cloud computing

By Huankai Chen, Frank Z. Wang, N. Helian, Gbola Akanmu. 2013 National Conference on Parallel Computing Technologies (PARCOMPTECH), 2013

315 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Hardware and Architecture, Information Systems

View Paper: https://www.semanticscholar.org/paper/ca139927513559bdd70302596299e6d8437a207e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. B. Sahoo
2. Susheela Dahiya
3. Avita Katal
4. S. Mishra
5. Tanupriya Choudhury
6. P. Parida

Citations in the corpus

• Energy efficiency in cloud computing data centers: a survey on software technologies (2022, methodology): “To address the issue of energy usage, the authors of [56] proposed the Energy and Performance-Efficient Task Scheduling Algorithm (EPETTS) in a heterogeneous virtualized cloud.”
• Load balancing in cloud computing: A big picture (2018, methodology): “Chen et al. [44] have introduced an improved Min-Min algorithm to balance the load of the system as well as to optimize the makespan and enhance the resource utilization.”